Triple
T6908818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wittmund district |
E159879
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Langeoog |
E169911
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Langeoog | Statement: [Wittmund district, contains, Langeoog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langeoog Context triple: [Wittmund district, contains, Langeoog]
-
A.
Langeoog
chosen
Langeoog is a German North Sea island known for its car-free environment, expansive sandy beaches, and role as a popular holiday destination in Lower Saxony.
-
B.
Rognøya
Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
-
C.
Hinnøya
Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
-
D.
Dyrøya
Dyrøya is an island located in the Troms region of northern Norway, known for its rugged coastal landscape and small rural communities.
-
E.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9be98748190b5cb698e66e3aa42 |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c749076f6c819088b0b40dd3e208b0 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:25 p.m.